Plan, design and develop future Software Defined Vehicle (SDV)-based connected and contextual navigation system in Virtual Cockpit Unit (VCU) including Center Stack Module (CSM), Instrument Panel Cluster (IPC), Heads Up Display (HUD). Set vision, define strategy, and drive execution to achieve market success. Leverage Software Defined Vehicle (SVD) architecture, capture and assess vehicle telematics data, and Vehicle Communication Platform (VCP) and Telematics Control Platform (TCP) application logs, back-end network and mobile network application logs, and modem diagnostic logs using Kafka, Hive, Spark, and Pulsar tools, and stored in Big Data repositories including Hadoop platform. Analyze and forecast passenger vehicle, Captured Test Fleet (CTF), and BrightDrop telematics data including gear position, location, speed, direction of travel, temperature, camera vision, using MS PowerBI and dBeaver tools. Apply predictive models of telematic big data (terabytes) using Machine Learning (ML) algorithms including statistical models, random forest classifiers, gradient boosting decision trees, to predict driver destination, battery State of Charge (SOC), and identify objects including cones, vehicles, potholes, pedestrians, and emergency vehicles, to improve vehicle navigation and User Experience (UX).
